Format

Send to

Choose Destination
See comment in PubMed Commons below
Genome Biol. 2008;9(3):R52. doi: 10.1186/gb-2008-9-3-r52. Epub 2008 Mar 10.

Functionally important segments in proteins dissected using Gene Ontology and geometric clustering of peptide fragments.

Author information

1
Bioinformatics Centre, Indian Institute of Science, Bangalore 560012, India. kmani@embl-hamburg.de

Abstract

We have developed a geometric clustering algorithm using backbone phi,psi angles to group conformationally similar peptide fragments of any length. By labeling each fragment in the cluster with the level-specific Gene Ontology 'molecular function' term of its protein, we are able to compute statistics for molecular function-propensity and p-value of individual fragments in the cluster. Clustering-cum-statistical analysis for peptide fragments 8 residues in length and with only trans peptide bonds shows that molecular function propensities > or =20 and p-values < or =0.05 can dissect fragments within a protein linked to the molecular function.

PMID:
18331637
PMCID:
PMC2397504
DOI:
10.1186/gb-2008-9-3-r52
[Indexed for MEDLINE]
Free PMC Article
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for BioMed Central Icon for PubMed Central
    Loading ...
    Support Center